10 citations · 12 across the 12 of their papers we have counts for
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cs.MA2024
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
Dom Huh, Prasant Mohapatra
Sample efficiency remains a key challenge in multi-agent reinforcement learning (MARL). A promising approach is to learn a meaningful latent representation space through auxiliary…
cs.AI2024★ 1 cited
Reinforcement Learning Problem Solving with Large Language Models
Sina Gholamian, Domingo Huh
Large Language Models (LLMs) encapsulate an extensive amount of world knowledge, and this has enabled their application in various domains to improve the performance of a variety o…